Self-service and automation through AI chatbots: Energy provider TEAG shows how it works (German only)
On-demand webinar (available anytime)
“
“
The live webinar provides exciting practical examples and insights into innovative AI technology from Frederik Schröder (MoINai) and Hendrik Kupfer (TEAG).
Sign up for the webinar:

Speakers in the panel:

Frederik Schröder is an expert in chatbots and AI. His mission: to harness the potential of artificial intelligence for businesses. He does this in his professional practice with clients and in lectures and webinars, where he uses practical examples to bring the potential of AI and automation to life and make it understandable.


This is what you can expect in the webinar:
The webinar provides exciting practical examples and insights into innovative AI technology from Frederik Schröder (moinAI) and Hendrik Kupfer (TEAG).
You will also learn how to use a self-learning AI chatbot Build customer relationships, the Improve customer experience and the Relieve customer service.
On July 29 at 11 a.m. in 45 minutes (30 min. content + 15 min. Q&A) Using practical examples, explains all steps that lead to a successful implementation of an AI chatbot.
After participating in the webinar, you will know everything you need to know about these topics:
- Why an AI chatbot? The reasons why a direct chat channel and automation are so important for companies — especially in 2021.
- The “3 step” energy template: How a hybrid “agent AI approach” (live chat system Userlike + moinAI) can be successfully implemented in practice.
- TEAG best practice: The webinar shows live how TEAG uses an AI chatbot on its own website.
- Digital self-service solution: Automate recurring customer inquiries and reduce support costs by 25% with a digital assistant.
- AI Deep Dive: How independent learning is possible based on artificial intelligence and can therefore automate more and more inquiries.
- Profitability calculation: How the increase in conversion rates and saved support ticket costs can be calculated before implementation.


